Unsupervised anomaly detection for digital radio frequency transmissions M Walton, M Ayache, L Straatemeier, D Gebhardt, B Migliori 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 20 | 2017 |
Hunting for naval mines with deep neural networks D Gebhardt, K Parikh, I Dzieciuch, M Walton, NAV Hoang OCEANS 2017-Anchorage, 1-5, 2017 | 16 | 2017 |
Theory of mind for deep reinforcement learning in hanabi A Fuchs, M Walton, T Chadwick, D Lange arXiv preprint arXiv:2101.09328, 2021 | 14 | 2021 |
Methods and systems for performing radio-frequency signal noise reduction in the absence of noise models BJ Migliori, DJ Gebhardt, MW Walton, LM Straatemeier US Patent 10,291,268, 2019 | 5 | 2019 |
System and method for motion abstraction, activity identification, and vehicle classification RJ Wroblewski, MW Walton US Patent 11,151,169, 2021 | 2 | 2021 |
Method for performing multi-agent reinforcement learning in the presence of unreliable communications via distributed consensus MW Walton, BJ Migliori, J Reeder US Patent 11,321,635, 2022 | 1 | 2022 |
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report M Walton, V Lisy arXiv preprint arXiv:2103.00187, 2021 | 1 | 2021 |
Asynchronous artificial neural network architecture DJ Gebhardt, BJ Migliori, MW Walton, L Straatemeier, MR Ayache US Patent 11,030,518, 2021 | | 2021 |
Intention-based Behavioral Anomaly Detection F Hung, X Xie, A Fuchs, M Walton, S Qi, Y Zhu, D Lange, SC Zhu | | 2019 |
Probabilistic Scene Parsing M Walton, D Lange, SC Zhu Computational Context, 137-156, 2018 | | 2018 |
Radio Signal Augmentation for Improved Training of a Convolutional Neural Network D Gebhardt, B Migliori, L Straatemeier, M Walton, SSC Pacific | | 2016 |
Radio Model-free Noise Reduction of Radio Transmissions with Convolutional Autoencoders B Migliori, D Gebhardt, L Straatemeier, M Walton, SSC Pacific | | 2016 |